Description
This pack contains a workflow, a file and documentation (tutorial to run the workflow).
The Bootstrap of observed census transitions (confidence intervals of λ) workflow for local execution calculates bootstrap distributions of population growth rates (λ), stage vectors, and projection matrix elements by randomly sampling with replacement from a stage-fate data frame of observed transitions. The goal of a demographic analysis is very often to estimate lambda, because lambda is estimated from imperfect data, such estimation are uncertain. Therefore, when the results have policy implications it is important to quantify that uncertainty. Confidence interval is one of the traditional tools to doing so (see outputs: Bootstrap analysis).
A detailed description of resampling methods to estimate confidence intervals for demographic estimates is described Caswell (2001, Chapter 12).